图象压缩技术及其应用

Image Compression Technique and Its Applications

本文介绍当前图象数据压缩技术的研究与应用。对于静态图象重点讨论以人眼视觉感知特性为指导的压缩技术，对于动态图象压缩技术，着重介绍ＭＰＥＧ－２及正在发展中的ＭＰＥＧ－４的一些目标和特点，以及基于模型的编码方法，文中还简介了图象压缩技术的应用和产品研制情况。

Digital image/video compression has been one of the hottest research areas in information technology in the past decade. In this paper,recent advances in image and video compression techniques are introduced. For still image compression,techniques based on human visual perception are emphasized, such as quantiser design in transform domain coding techniques. Techniques using neural network and fractal are introduced too. For video compression,the MPEG-2 technique is emphasized because of its benchmark position for video coding. The evolving MPEG-4 video coding(its general goal and requirement) is mentioned too. Model based coding is introduced as a potential method for MPEG-4. Finally, some current and future applications of digital image/video compresion techniques such as HIDTV are presented.